R M R Pizzi

Summary

Affiliation: University of Milan
Country: Italy

Publications

  1. ncbi Learning in human neural networks on microelectrode arrays
    R Pizzi
    Department of Information Technologies, University of Milan, Via Bramante 65, 26013 Crema CR, Italy
    Biosystems 88:1-15. 2007
  2. ncbi A cultured human neural network operates a robotic actuator
    R M R Pizzi
    Living Networks Lab, Department of Information Technologies, University of Milan, Via Bramante 65, 26013 Crema CR, Italy
    Biosystems 95:137-44. 2009
  3. ncbi [Non-linear analysis of electrocardiographic signals as a non-invasive predictive tool for major ventricular arrhythmias]
    Rita Pizzi
    Dipartimento di Tecnologie dell Informazione, Universita degli Studi, Milano
    G Ital Cardiol (Rome) 9:40S-46S. 2008

Collaborators

Detail Information

Publications3

  1. ncbi Learning in human neural networks on microelectrode arrays
    R Pizzi
    Department of Information Technologies, University of Milan, Via Bramante 65, 26013 Crema CR, Italy
    Biosystems 88:1-15. 2007
    ..Further experiments are to be designed that improve the hybrid neural networks' capabilities and to test the possibility of utilizing the organized answers of the neurons in several ways...
  2. ncbi A cultured human neural network operates a robotic actuator
    R M R Pizzi
    Living Networks Lab, Department of Information Technologies, University of Milan, Via Bramante 65, 26013 Crema CR, Italy
    Biosystems 95:137-44. 2009
    ..Lastly the fascinating performance of the hybrid system is evaluated quantitatively and potential future work is discussed...
  3. ncbi [Non-linear analysis of electrocardiographic signals as a non-invasive predictive tool for major ventricular arrhythmias]
    Rita Pizzi
    Dipartimento di Tecnologie dell Informazione, Universita degli Studi, Milano
    G Ital Cardiol (Rome) 9:40S-46S. 2008
    ..All patients underwent both EPS and non-linear analysis procedures applied to their ECG recording. A comparison between the results of non-linear analysis of the ECG and EPS was performed. Results are presented and discussed...